Technical Academic Content Writer

Job Summary: We are looking for a highly skilled Technical Academic Content Writer with expertise in Java Full Stack, Python Full Stack, and AI/ML to create real-world projects and assessments for academic and professional learning programs. The ideal candidate will design and develop hands-on projects , assignments , and evaluative content that align with industry standards and help learners build practical skills in these domains. Key Responsibilities: Project Development: Design end-to-end projects for Java Full Stack, Python Full Stack, and AI/ML domains. Create real-world scenarios, project guidelines, problem statements, functional requirements, and sample solutions . Ensure projects are practical, industry-relevant, and aligned with learning outcomes . Include code snippets, expected outputs, and guidance for learners. Assessment Creation: Develop quizzes, coding challenges, multiple-choice questions, and practical assessments for Java, Python, and AI/ML topics. Create varied difficulty-level questions (basic to advanced) to assess theoretical and practical understanding. Ensure clarity, accuracy, and relevance of questions with proper answer keys and explanations. Design unit tests, code validation scenarios, and project evaluation rubrics . Content Review: Ensure high-quality, plagiarism-free content with correct solutions. Update and refine content based on technology trends and feedback. Required Skills: 5+ years of experience in technical content development or academic writing in Java Full Stack, Python Full Stack, and AI/ML . Strong hands-on expertise in: Java Full Stack (Java, Spring Boot, Hibernate, REST APIs, Frontend Frameworks like React/Angular) Python Full Stack (Python, Flask/Django, REST APIs, Frontend Frameworks) AI/ML (ML algorithms, Python libraries like TensorFlow, PyTorch, scikit-learn) Ability to create realistic, practical projects and challenging assessments that reflect industry needs . Excellent problem-solving and technical communication skills . Nice to Have: Experience in certification-aligned assessments (e.g., Java certifications, AI/ML certifications). Familiarity with code review tools, Git workflows, and modern development pipelines .